Analysis of the algorithm: From rankings to backup genes.

Ranking section

For each of the affected genes present in the list, a ranking with the score and percentile of every possible gene was obtained. Once this was done, the position for every known backup gene was obtained and the statistical descriptor of all the values calculated.

Table 1. Backup position values for every kernel and net before integration.

Net Kernel Elements Min Max Average Standard_Deviation
biological_process ct 2 0.286 0.452 0.369 0.083
biological_process el 2 0.381 0.464 0.423 0.042
biological_process ka 2 0.381 0.476 0.429 0.048
biological_process rf 2 0.333 0.452 0.393 0.06
cellular_component ct 2 0.311 0.467 0.389 0.078
cellular_component el 2 0.311 0.456 0.383 0.072
cellular_component ka 2 0.311 0.433 0.372 0.061
cellular_component rf 2 0.311 0.478 0.394 0.083
molecular_function ct 2 0.182 0.591 0.386 0.205
molecular_function el 2 0.182 0.614 0.398 0.216
molecular_function ka 2 0.045 0.614 0.33 0.284
molecular_function rf 2 0.08 0.591 0.335 0.256
phenotype ct 1 0.62 0.62 0.62 0.0
phenotype el 1 0.56 0.56 0.56 0.0
phenotype ka 1 0.54 0.54 0.54 0.0
phenotype rf 1 0.6 0.6 0.6 0.0

Table 2. Backup position values for every kernel after integration

Integration Kernel Elements Min Max Average Standard_Deviation
integration_mean_by_presence ct 3 0.091 0.758 0.375 0.281
integration_mean_by_presence el 3 0.167 0.763 0.386 0.268
integration_mean_by_presence ka 3 0.202 0.621 0.389 0.174
integration_mean_by_presence rf 3 0.192 0.798 0.404 0.279
mean ct 3 0.066 0.758 0.365 0.29
mean el 3 0.141 0.768 0.365 0.285
mean ka 3 0.096 0.753 0.355 0.285
mean rf 3 0.121 0.798 0.357 0.312

Table 1. Seed Gen number of annotations for each type of information .